Telegram RegisterThe public register of Telegram

Channel

Dendi Math&AI

@dendi_math_ai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

3,122subscribers

-18 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001835139851
TypeChannel
Username@dendi_math_ai
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/dendi_math_ai

Growth

3,1223,1403,1315 August 2026 — 3,140 subscribers6 August 2026 — 3,140 subscribers6 August 2026 — 3,139 subscribers9 August 2026 — 3,136 subscribers12 August 2026 — 3,122 subscribers5 August 202612 August 2026
5 measurements spanning 7 days, net -18. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,119–3,143 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:353,122-14
9 Aug 2026, 07:533,136-3
6 Aug 2026, 16:003,139-1
6 Aug 2026, 04:503,140no change
5 Aug 2026, 22:023,140first reading

Engagement

17 posts held, back to 30 September 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.0%
avg views ÷ 3,122 subscribers
Avg views / post
342
1 post measured
Reaction rate
7.02%
reactions ÷ views · ER floor
Posts in window
1
of 17 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held17 (30 September 20256 August 2026)
Views total342
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
2m 19s
Average length
1m 10s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

572 reactions across 15 posts, in 17 distinct kinds. The most used accounts for 47.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥26947.0%
14725.7%
👍6511.4%
👏203.50%
🫡183.15%
😁132.27%
111.92%
❤‍🔥61.05%
🤝61.05%
🤔40.699%
🎉30.524%
🤩30.524%
👌20.35%
😎20.35%
🏆10.175%
🕊10.175%
🥰10.175%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 16 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 633reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 30 September 2025 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

6 Aug 2026, 15:24 UTC342 views24 reactionsread 7 August 2026
Forwarded from @timeforcvPhoto

Курс по Visual GenAI от Yandex Research и ШАД Авторы CV Time не только пишут обзоры статей о компьютерном зрении, но и создают обучающие курсы. Сегодня делимся курсом ШАДа «Генеративные модели в компьютерном зрении», который ведёт Дмитрий Баранчук, руководитель группы GenAI в Yandex Research, вместе с праймовой командой исследователей в этой области. Будет полезно тем, у кого есть базовые знания по генеративкам и

9🔥8❤‍🔥5🥰1😁1

Signed Денис Димитров

28 May 2026, 08:29 UTC≈1,390 views13 reactionsread 7 August 2026

Сегодня в 12:00 продолжаем, но теперь онлайн: https://dion.vc/event/datafest-kb Программа на сегодня вот тут

🔥7🤩32🤝1

Signed Денис Димитров

26 May 2026, 07:32 UTC≈1,630 views23 reactionsread 7 August 2026

Подключайтесь послушать: Секция GenAI Секция GenCV Вот тут программа

11🔥74👏1

Signed Денис Димитров

30 Apr 2026, 17:18 UTC≈2,310 views26 reactionsread 7 August 2026
Photo

В этом году я организую секцию GenCV в рамках DataFest 2026. Будут интересные доклады: о моделях генерации изображений, видео, 3D, о моделях мира, о VAE для токенизации мультимодального контента. Обсудим разные подходы при создании такого рода моделей (обязательно — омнимодальность 😉), поговорим про инженерные сложности pre-train, alignment (SFT, RL) и про то, как добиться real time генерации видео, затронем нюансы с

🔥147👍2👏2😁1

Signed Денис Димитров

29 Apr 2026, 14:09 UTC≈1,430 views32 reactionsread 7 August 2026
Forwarded from @if_else_aiVideo

А вы знали, что методы генерации видео можно использовать для прогноза погоды? Наша команда разработала Marchuk — первую в России генеративную модель для прогнозирования климатических рисков. Мы взяли диффузионные трансформеры (которые обычно генерируют изображения и видео) и научили их предсказывать погоду. И вот что получилось: ✔️Субсезонный диапазон: Marchuk позволяет строить прогнозы на 15-30 дней вперёд ✔️Ком

17🔥9👍3🤔2😁1

Signed Денис Димитров

23 Mar 2026, 15:19 UTC≈1,770 views15 reactionsread 7 August 2026
Forwarded from @airi_research_institutePhoto

Приглашаем на пятый Большой Семинар AIRI, который пройдёт 16 апреля в 17:00 ⤵️ Хотим поделиться с вами, что у Института AIRI тоже юбилей — в этому году нам исполняется пять лет. Готовимся праздновать ❤️ Докладчиком выступит доктор экономических наук, декан и профессор экономического факультета МГУ им. М. В. Ломоносова, заведующий кафедрой прикладной институциональной экономики Александр Александрович Аузан. Тема в

🔥94👌1😁1

Signed Денис Димитров

7 Feb 2026, 17:20 UTC≈8,730 views50 reactionsread 7 August 2026
Photo

⚡️Коллеги из Центра Робототехники Сбера на этой неделе опубликовали техрепорт по Green-VLA. Это 4B staged vision–language–action (VLA) модель для generalist-роботов и, в первую очередь, конечно же для робота Грина 😎 Его как раз и делают ребята — они представляли Грина и довольно подробно про него рассказывали (особенно в части железа и контрола) на AI Journey в конце ноября 2025 В статье подробно разобрано, что имен

🔥2117👍8😎2🏆1👏1

Signed Денис Димитров

16 Dec 2025, 09:57 UTC≈14,400 views112 reactionsread 7 August 2026
Photo

🥳 Мы докатили в text-to-video арену две наши последние модели генерации видео Kandinsky 5.0 Video Lite и Pro ⚡️Результаты следующие: 🔘Pro версия является ТОП-1 опенсорсом в мире (см. модели с лицензиями MIT, Apache 2.0 в лидерборде) 🔘Lite версия лучше первой версии Sora (не супердостижение, но у Lite всего 2B параметров) 🔘Лучше нас (Pro) только Google (Veo 3.1, Veo 3), OpenAI (Sora 2), Alibaba (Wan 2.5), KlingAI (Kl

🔥7022👍16🤔2👌1😁1

Signed Денис Димитров

10 Dec 2025, 07:37 UTC≈11,200 views26 reactionsread 7 August 2026

⚡Салют, Гига! — уже сегодня Обещал вернуться с программой — вот она. Моя команда приготовила на эту конференцию большое количество материалов в формате докладов, воркшопов, постеров и стендов. Фокус — на синтез мультимедийного контента (изображений, видео, синхронного аудио) с помощью новых моделей Kandinsky. Успеем рассказать почти всё (и продемонстрировать это на практике) Поговорим: 🔘об архитектуре, инфраструкт

🔥96👍6😁3👏1🕊1

Signed Денис Димитров

28 Nov 2025, 13:22 UTC≈8,030 views63 reactionsread 7 August 2026
Photo

Кстати говоря, за последнюю неделю наш техрепорт сначала взял топ-1 за день, потом за неделю, а сейчас уже и за месяц (ноябрь) в рейтинге Daily Papers на HF 🤗, причём с хорошим отрывом. Осталось продержаться 3 дня :)

🔥35🫡14👏8👍4😁2

Signed Денис Димитров

28 Nov 2025, 13:00 UTC≈13,100 views34 reactionsread 7 August 2026

Всем привет! В дополнение к нашему подробному техрепорту по линейке моделей Kandinsky 5.0 на английском сегодня мы выпустили статью на Хабр на русском 🔥 Там найдёте ещё больше подробностей разработки наших моделей, примеров их использования и разных применений! 👉 Ещё раз ссылка на статью на Хабр 👉 Ссылка на техрепорт @dendi_math_ai

🔥205🎉3😁3👍2❤‍🔥1

Signed Денис Димитров

23 Nov 2025, 16:37 UTC≈7,650 views26 reactionsread 7 August 2026

10 декабря будем с ребятами рассказывать о том, что сделали за этот год по всем направлениям в рамках разработки моделей Kandinsky. Будет много всего интересного, регистрируйтесь и приходите @dendi_math_ai

11🔥6🤝5🫡4

Signed Денис Димитров

Showing the 12 most recent of 17 posts we hold for @dendi_math_ai. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 1,050,878 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Dendi Math&AI” (@dendi_math_ai), 3,122 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dendi_math_ai.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.